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  1. No Access

    Article

    A data-adaptive dimension reduction for functional data via penalized low-rank approximation

    We introduce a data-adaptive nonparametric dimension reduction tool to obtain a low-dimensional approximation of functional data contaminated by erratic measurement errors following symmetric or asymmetric dis...

    Yeonjoo Park, Hee-Seok Oh, Yaeji Lim in Statistics and Computing (2023)

  2. Article

    Open Access

    A superconducting joint for GdBa2Cu3O7−δ-coated conductors

    Second-generation (2G) GdBCO-coated conductors (CCs) are promising for superconducting magnet applications because of their high critical current (Ic) density, low dependency of the Ic on the external magnetic fi...

    Yeonjoo Park, Myungwhon Lee, Heesung Ann, Yoon Hyuck Choi, Haigun Lee in NPG Asia Materials (2014)

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  3. No Access

    Article

    Robust principal component analysis via ES-algorithm

    In this paper, a new method for robust principal component analysis (PCA) is proposed. PCA is a widely used tool for dimension reduction without substantial loss of information. However, the classical PCA is v...

    Yaeji Lim, Yeonjoo Park, Hee-Seok Oh in Journal of the Korean Statistical Society (2014)